Are FNAB correction factors correct?
Explore the source record for details and available documents.
SEARCH · Search PubMed
Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.
Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.
Explore the source record for details and available documents.
To correct for overreporting of fruit and vegetable (FV) consumption in a food-frequency questionnaire, summary questions about consumption of main FV groups are often used to calculate correction factors. This study compared the ability to rank people according to their FV intake of those summary questions and the sum of questions on individual FV items within categories, and of corrected or uncorrected estimates of specific sorts of FV. Healthy middle-age women (n = 161) completed a food-frequency questionnaire about FV consumption during the previous month and gave a single fasting blood sample. Correction factors were calculated as the reported frequency on a summary question divided by the summed frequencies of all items in a category. Plasma carotenoids and vitamin C served as biomarkers of FV consumption. Significant correlations between FV consumption and biomarkers were observed (e.g., Spearman's correlation coefficient r with total carotenoids/vitamin C: 0.32/0.34 for vegetables, 0.30/0.25 for fruits). Summary estimates of cooked, raw and total vegetable consumption correlated higher with biomarkers than sum estimates. For fruits no differences in correlations between sum and summary estimates were observed. Applying a correction factor on the consumption of carrots and total cabbage resulted in lower correlations with relevant biomarkers. For broccoli/cauliflower, Brussels sprouts and citrus fruits, correlations with biomarkers did not change after correction. We conclude that summary questions may suffice to rank individuals according to their intake of main FV categories, and that correction for overreporting of individual FV items is probably not advisable when ranking individuals according to intake of these items.
BACKGROUND: In experimental biology, including retrovirology and molecular biology, replicate measurement sessions very often show similar proportional differences between experimental conditions, but different absolute values, even though the measurements were presumably carried out under identical circumstances. Although statistical programs enable the analysis of condition effects despite this replication error, this approach is hardly ever used for this purpose. On the contrary, most researchers deal with such between-session variation by normalisation or standardisation of the data. In normalisation all values in a session are divided by the observed value of the 'control' condition, whereas in standardisation, the sessions' means and standard deviations are used to correct the data. Normalisation, however, adds variation because the control value is not without error, while standardisation is biased if the data set is incomplete. RESULTS: In most cases, between-session variation is multiplicative and can, therefore, be removed by division of the data in each session with a session-specific correction factor. Assuming one level of multiplicative between-session error, unbiased session factors can be calculated from all available data through the generation of a between-session ratio matrix. Alternatively, these factors can be estimated with a maximum likelihood approach. The effectiveness of this correction method, dubbed "factor correction", is demonstrated with examples from the field of molecular biology and retrovirology. Especially when not all conditions are included in every measurement session, factor correction results in smaller residual error than normalisation and standardisation and therefore allows the detection of smaller treatment differences. Factor correction was implemented into an easy-to-use computer program that is available on request at: biolab-services@amc.uva.nl?subject=factor. CONCLUSION: Factor correction is an effective and efficient way to deal with between-session variation in multi-session experiments.
Explore the source record for details and available documents.
To correct for the influence of source configuration on the measured activity of spherical and cylindrical brachytherapy sources, a geometric correction factor was calculated for the Standard Imaging HDR-1000 well-type ionization chamber. A Fortran program modelled each source as a lattice of point sources. Because of the cylindrical symmetry of the well chamber, it could be uniquely modelled by point detectors along the perimeter of the radial plane of the detection volume. Path lengths were calculated and attenuation factors were applied to each source-detector point combination individually. The total dose rate at each detection point was found through a Sievert summation of the point source contributions. For 137Cs sources with identical activities, a correction factor of 0.965 +/- 0.005 was calculated, equal to the ratio of the dose rate of the cylindrical source to that of the sphere. Experimental verification using a Nuclear Associates 67-809 series cylindrical sources and an Amersham spherical 137Cs source yielded a correction factor of 0.958 +/- 0.016.
Correction factors have been determined to obtain the best estimates of PO2, PCO2 and pH in equine blood with standard blood gas and pH electrodes. There was a significant difference between the PO2 readings for tonometred blood of most horses and the equilibrating gas. Thus, if the PO2 electrode is calibrated with a gas, an electrode correction factor should be obtained by tonometring a blood sample from each horse. This factor was not dependent on packed cell volume. No such correction is required for the PCO2 electrode. If the animal's temperature differs from that of the analyser, the PO2, PCO2 and pH values must be corrected to the animal's body temperature. Temperature correction factors determined for equine blood were similar to those for human blood. Failure to make temperature corrections can result in errors for PO2 and PCO2 of 6 to 7 per cent per degree of temperature difference.
Explore the source record for details and available documents.
The acetate correction factor is used to account for retention of carbon label in exchange reactions of the tricarboxylic acid cycle in studies estimating free fatty acid oxidation with carbon-labeled tracers. Previous evidence indicates that substrate utilisation and metabolic rate vary across the menstrual cycle, which may alter the correction factor. We therefore derived the acetate correction factor for each of three menstrual phases (early follicular [EF], late follicular [LF], and midluteal [ML] phase) from the fractional recovery of 13CO2 from a constant infusion of sodium-[1-13C] acetate during 90 min of submaximal exercise (60% VO2-max) in sedentary eumenorrhoeic women. There was no difference in the correction factor between the EF and LF or the LF and ML phases, but the correction factor derived in the ML phase was significantly lower than in the EF phase (p < 0.05). Neither energy expenditure nor whole body substrate utilisation during exercise varied significantly between menstrual phases and therefore cannot explain the observed difference in the correction factor. The lower correction factor in the ML phase, compared to the EF phase, would result in only a small increase of -6% in the calculated plasma free fatty acid oxidation rate.
A new multiplicative correction factor for tissue heterogeneities based on an exact expression for homogeneous non-unit-density media is proposed. O'Connor's density scaling theorem is invoked to evaluate the medium-specific tissue-maximum ratios used in the exact formulation. Monte Carlo calculations were performed at energies ranging from 60Co to 15 MV to test the technique for single- and multiple-slab geometries as well as for the clinical benchmark problem described recently by Orton et al consisting of a six-field lung plan. Within the level of statistical uncertainty (less than 2%) in the Monte Carlo calculations, the new correction factor agrees with the calculated data for single slabs of non-unit-density material. For the multiply layered geometries, the correction factor accurately represents the data beyond the build-up region at any interface, but is less reliable close to a boundary. For high energies, however, it is more accurate in the build-up region than other commonly used correction techniques such as the ratio-of-TMR or Batho methods. For all energies considered, the new correction factor agrees with the data measured by Orton et al to within 1.5%. It is more accurate than other correction factors considered by Orton et al at high energies, and is competitive with the Batho and equivalent TAR methods at low energies.
A "gradient correction factor" and an "electron fluence correction factor" are used in the AAPM Task Group 21 dosimetry protocol, the product of the two being the "replacement correction factor." The separation of two physical processes, implied by the concepts, is theoretically unfounded. The proof of this statement rests on Fano's theorem, the conditions for which constitute a case without variations in fluence or its directional and energy distributions. Deviations from these conditions represent gradients in the radiation field, affect the response of a measurement cavity, and do so by perturbing the fluence of electrons that deposit energy in the cavity. Thus, in beams of both electrons and photons, corrections are required when fluence variations exist in the vicinity of the cavity. The rationale for an electron fluence correction based on "in-scattering" and "obliquity" is weak, since the effects only occur when gradients are present. The choice of values for the two correction factors at the depth of maximum dose are particularly inconsistent with the actual characteristics of the radiation field.
There has been conflicting data in the literature regarding the use of wide navigator echo (NE) acceptance windows in combination with adaptive motion correction for magnetic resonance coronary angiography (MRCA). This in part may be due to the use of a fixed correction factor when applying the adaptive motion-correction algorithm, which may potentially result in miscorrection of the imaging slice in subjects whose correction factor differs widely from the mean. We have addressed this issue by measuring the superior/inferior correction factor in 25 subjects and assessing the effect of using a subject-specific correction factor (CFss) for MRCA in comparison with no adaptive motion correction (CF0) and erroneous adaptive motion correction with a correction factor of 1.0 (CF1). There was a wide variation in the correction factor between subjects (proximal right coronary artery, 0.49 +/- 0.15, range 0.20-0.70; proximal left coronary artery, mean 0.59 +/- 0.15, range 0.20-0.85). The subject-specific correction factor was accurately calculated from motion of the aortic root in the coronal plane between expiratory and inspiratory breathhold (correction factor calculated from coronal image versus correction factor calculated after localization of coronary arteries, r = 0.92, p < 0.001). MRCA image quality was improved using a subject-specific correction factor, for both a 6-mm NE acceptance window (CFss versus CF0, p = 0.008; CFss versus CF1, p = 0.02) and a 16-mm NE window (CFss versus CF0, p = 0.01; CFss versus CF1, p = 0.007). Furthermore, image quality was maintained between the two NE windows if the subjects-specific correction factor was used (6 versus 16 mm, p = 0.21), with an improvement in scan efficiency (6 versus 16 mm, 49 +/- 17% versus 81 +/- 22% respectively, p < 0.001). Thus, for adaptive motion correction to be implemented, a subject-specific correction factor should be used and calculated from simple coronal expiratory and inspiratory breathholds. For real-time NE-gated cardiac MR with adaptive motion correction, the NE window can be widened to reduce the acquisition period without loss of image quality.
The predictive ability of different mathematical manipulations of condition correction factors in estimating total body clearance of theophylline in acutely ill hospitalized patients was evaluated. Fifty acutely ill patients who were treated with constant aminophylline infusions were evaluated. Twenty-one patients were evaluated prospectively. Initial serum theophylline concentrations were ordered, and second concentrations were obtained at steady state. Twenty-nine patients were evaluated retrospectively and were included if two steady-state serum theophylline concentrations had been obtained. Each condition correction factor was determined by calculating the predicted normal clearance using a literature-derived clearance value and dividing it into the actual clearance obtained. The FDA condition correction factors were obtained by dividing the theophylline dose recommended for patients with a particular disease by the dose recommended for a normal patient. Pearson correlation coefficients for 15 mathematical manipulations were used to examine the relationship between the predicted clearance and actual clearance. The predictability of theophylline clearance using the mathematical manipulations decreased as the number of condition correction factors increased. The mean actual clearance for four patients with no condition correction factors was only 2% greater than the mean standard clearance found in a previous study. The use of 0.041 L/hr/kg as a standard clearance appears justified for calculating initial theophylline dosages in all patients. Patients with only one condition correction factor may use this factor to adjust dosage, but when more than one factor is present, the use of the other manipulations studied may result in either subtherapeutic or toxic serum concentrations.
Assessment of QT interval prolongation is often used for assessing the cardiac safety of a new drug. However, the correction of the QT interval for varying heart rates has potential bias due to various different correction factors. This article proposes a maximum likelihood (ML) approach for calculating the appropriate individual correction factor using the data. The data come from a study with 24 subjects participating in a 10 day multiple dose (NEW RX) placebo-controlled cross-over trial with repeat ECGs obtained at baseline and at day 10. ML techniques were used to fit a random-effects model to observed QT and HR values for estimating the pooled and individual correction factors. QT(c) values using four correction factors (Bazett, Friderecia, pooled and individual) were investigated. The relative performance of the various correction factors are given in terms of variability and graphical techniques. The pooled correction factor was estimated to be 0.292 and the individual correction factors ranged from 0.19 to 0.41. The assessment of the treatment effect on QT(c) yielded inconsistent results. Bazett's factor indicated prolongation (6.55+/-1.20), Friderecia's factor indicated no change, while the pooled (-2.92+/-0.94) and individual (-2.82+/-1.00) factors showed a significant decrease. Graphical examination of individual QT(c) data showed a significant advantage in the use of individual correction factors versus Bazett's factor both in terms of sensitivity as well as reduction in bias. Use of individual correction factors is advocated for the assessment of possible drug-induced QT(c) prolongation.
Wall correction factors, which correct ion chamber response for photon attenuation and scatter, can differ by as much as 1.0% for spherical chambers depending on whether they are obtained experimentally by extrapolation measurements or by Monte Carlo simulation. This difference is not explained by experimental or calculational statistics which lie in the range 0.05%-0.2%. In this paper it is demonstrated that linear extrapolation of experimental data for spherical chambers is inappropriate, owing to the curvature of the chamber walls. A simple nonlinear theory is constructed that resolves the difference. The Monte Carlo calculations and the nonlinear theory are compared with extrapolation measurements for the NIST (formerly NBS) spherical chambers. It is concluded that wall correction factors should be obtained by Monte Carlo calculation for spherical chambers and that linear-extrapolation techniques should be regarded with suspicion for all chambers.
New backscatter correction factors have been calculated using the GEPTS Monte Carlo code system for the case of an isotropic electron point source located at the boundary of a semi-infinite water medium. The backscatter correction factor is defined as the ratio of the dose in a semi-infinite medium to the dose, at the same point, in an infinite medium. It is found that the backscatter correction factor variation with position inside the medium is significant. However, the backscatter correction factor variation with energy is quite small for electron energies less than 1 MeV. The backscatter correction factor data are tabulated for energies of 1, 2, 3, and 4 MeV as functions of radial distance and angular direction. The proposed backscatter correction factors can be used for skin depth-dose calculations from beta particles emitted by either point sources or planar sources. Arbitrary target volumes and beta particle spectra can be considered. The new backscatter correction factors provide an alternative to the current data for accurate skin depth-dose calculations from skin contamination by hot particles.
OBJECTIVE: In the assessment of thyroid volume with sonography (formula of an ellipsoid), a correction factor is used. Whereas previously 0.524 was used, the World Health Organization has recently changed (after the first review) this correction factor to 0.479. We compare volume measurement of the thyroid using different correction factors to automated volume measurement using MDCT, and we define an optimal correction factor in thyroid volume assessment. CONCLUSION: Acceptable correction factors are situated in the range of 0.494-0.554. We propose a correction factor of 0.529 when using the ellipsoid formula.
BACKGROUND: Recently, Medtronic notified customers that new correction factors should be used for their Slimline and Zinetics24 single-use, internal-standard pH catheters. AIM AND METHODS: We selected 24-h recordings of oesophageal and gastric pH with the Zinetics24 from our archives for five healthy subjects and for five gastro-oesophageal reflux disease subjects who were studied at baseline and again after 8 days of treatment with a proton-pump inhibitor. All pH values obtained with the old correction factors were rescaled using the new correction factors. Values for median pH, integrated acidity and time pH < or = 4 were then calculated from pH values with old and new correction factors. RESULTS: The new correction factors changed values for median pH, integrated acidity and time pH < or = 4. Values for median pH and integrated acidity changed in a predictable, proportionate way, whereas values for time pH < or = 4 did not. CONCLUSIONS: The new correction factors will not change the interpretation of previously published results with median pH or integrated acidity. In contrast, values for time < or =4 cannot be converted in an obvious way with the new correction factors. Instead, the raw pH data will need to be rescaled and values for time pH < or = 4 recalculated using the rescaled pH data.
Gass (1991) proposed a correction factor composed of 14 MMPI-2 items that were characteristically endorsed by patients with closed-head injury. Their frequency of occurrence suggested that the items reflected the neurological rather than emotional consequences of head injury. The current study was designed to evaluate the interpretive significance of correction factor items after mild head trauma. Patients were examined immediately upon hospitalization and followed prospectively for at least 3 months. Correction factor items were endorsed more frequently during acute hospitalization than in the MMPI-2 standardization sample. At follow-up, none of the items were endorsed more often by patients with chronic mild head injury than by uninjured controls. These results suggest that the correction factor is sensitive to the acute neurological consequences of mild head trauma, but that these symptoms can typically be expected to resolve. Chronic endorsement of the items in this population is therefore most likely related to psychological factors.